docs: fix tutorial documentation inconsistencies

docs/tutorial.md

@@ -8,7 +8,7 @@ We will run two runs using the `mmlu` scenario on the `openai/gpt2` model. The `
 
 `helm-run` is a command line tool for running benchmarks.
 
-To run this benchmark using the HELM command-line tools, we need to specify **run entries** that describes the desired runs. For this example, the run entries are `mmlu:subject=anatomy,model=openai/gpt2` (for anatomy) and `mmlu:subject=philosophy,model=openai/gpt2` (for philosophy).
+To run this benchmark using the HELM command-line tools, we need to specify **run entries** that describe the desired runs. For this example, the run entries are `mmlu:subject=anatomy,model=openai/gpt2` (for anatomy) and `mmlu:subject=philosophy,model=openai/gpt2` (for philosophy).
 
 We will now use `helm-run` to execute the runs. Run this command:
 
@@ -27,7 +27,7 @@ The meaning of the arguments are as follows:
 -  The environment directory is `prod_env/` by default and can be set using `--local-path`. Credentials for making API calls should be added to a `credentials.conf` file in this directory.
 -  The output directory is `benchmark_output/` by default and can be set using `--output-path`.
 
-After running this command, navigate to the `benchmark_output/runs/my-suite/` directory. This should contain a two sub-directories named `mmlu:subject=anatomy,model=openai_gpt2` and `mmlu:subject=philosophy,model=openai_gpt2`. Note that the names of these sub-directories is based on the run entries we used earlier, but with `/` replaced with `_`.
+After running this command, navigate to the `benchmark_output/runs/my-suite/` directory. This should contain two sub-directories named `mmlu:subject=anatomy,model=openai_gpt2` and `mmlu:subject=philosophy,model=openai_gpt2`. Note that the names of these sub-directories are based on the run entries we used earlier, but with `/` replaced with `_`.
 
 Each output sub-directory will contain several JSON files that were generated during the corresponding run:
 
@@ -53,11 +53,11 @@ This reads the pre-existing files in `benchmark_output/runs/my-suite/` that were
 - `groups.json` contains a serialized list of `Table`, each containing information about groups in a group category.
 - `groups_metadata.json` contains a list of all the groups along with a human-readable description and a taxonomy.
 
-Additionally, for each group and group-relavent metric, it will output a pair of files: `benchmark_output/runs/my-suite/groups/latex/<group_name>_<metric_name>.tex` and `benchmark_output/runs/my-suite/groups/json/<group_name>_<metric_name>.json`. These files contain the statistics for that metric from each run within the group.
+Additionally, for each group and group-relevant metric, it will output a pair of files: `benchmark_output/runs/my-suite/groups/latex/<group_name>_<metric_name>.tex` and `benchmark_output/runs/my-suite/groups/json/<group_name>_<metric_name>.json`. These files contain the statistics for that metric from each run within the group.
 
 ## Using `helm-server`
 
-Finally, the `helm-server` command launches a web server to visualize the output files of `helm-run` and `helm-benchmark`. Run:
+Finally, the `helm-server` command launches a web server to visualize the output files generated by `helm-run` and processed by `helm-summarize`. Run:
 
 ```sh
 helm-server --suite my-suite